Enhancing Speaker Recognition with Multiple Observations over Mobile Networks
Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Andrea Sciarrone · 2016
Nowadays, the widespread use of Mobile Devices (MDs) open the door to exploit the presence of multiple nodes to accomplish collaborative tasks. In this paper, a speaker recognition system for MDs based on a multiple-observations approach is presented. We propose different fusion and clustering algorithms aimed at efficiently exploiting signals coming from multiple sensors. Numerical results show that in most cases our multiple-observations approach is able to significantly improve the performance of a single- receiver approach.